Detect objects in images, videos, and live webcam streams
Photo and video detector with csv annotation saving
Detect objects in a video and image using YOLOv5.
Track and count objects in videos
Model Yolo
Detect objects and track body movements in real-time
Identify objects in images and videos
Object_detection_from_Video
Track moving objects in videos or webcam feed
Dino-X-API-Demo::Alteredverse
Detect objects in a video
A UI for drone detection for YOLO-powered detection system.
Detect objects in a video stream
Workplace Safety Detection CV is a computer vision solution designed to enhance safety in workplace environments. It leverages AI-powered object detection to identify and monitor safety-related elements in images, videos, and live webcam streams. This tool is particularly useful for tracking safety compliance, detecting potential hazards, and ensuring adherence to safety protocols in industrial, construction, or other high-risk work settings.
What types of safety equipment can the system detect?
The system can detect common safety equipment such as hard hats, safety vests, safety glasses, and steel-toe boots. Custom detection models can be trained for additional items.
Can the tool work in real-time with live video streams?
Yes, Workplace Safety Detection CV supports real-time analysis through live webcam or IP camera feeds, enabling immediate safety monitoring.
How accurate is the system in detecting safety violations?
Accuracy depends on the quality of the input video and the specific use case. Under optimal conditions, the system achieves high accuracy in detecting safety-related objects and violations.